Configure
your tenancy for OCI Data Science
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Discuss OCI Data Science Overview & Concepts
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Discuss Accelerated Data Science (ADS) SDK Capabilities
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Configure your tenancy for Data Science
Design and
Set up OCI Data Science Workspace
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Create and manage Projects and Notebook sessions
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Create and manage Conda environments
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Store credentials via OCI Vault
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Configure and manage source code in Code Repositories (Git)
Implement
end-to-end Machine Learning Lifecycle
·
Discuss ML Lifecycle Overview
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Access data from different sources
·
Explore and Prepare data
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Visualize and Profile data
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Create and train models using OCI and Open source Libraries
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Create and Use automated ML capability from Oracle AutoML
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Evaluate models
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Obtain Global & Local Model Explanations
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Manage Models using Model Catalog
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Deploy & Invoke a Cataloged Model
Apply MLOps
Practices
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Discuss general MLOps Architecture in OCI
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Create & Manage Jobs for custom tasks
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Scale with OCI Data Science
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Monitor & Log using MLOps Practices
Use related
OCI Services
·
Create and Manage Spark Applications using Data Flow and OCI Data
Science
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Explain core OCI Open Data Service concepts
·
Create and Export a Dataset using OCI Data Labeling
·
Use OCI AI Services for ML Solutions